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. 2021 Feb 10;2021(2):CD012882. doi: 10.1002/14651858.CD012882.pub2

10. Comparison 1 results: subgroup analysis on mortality by wealth quintile and gender.

Outcome Subgroup Trial ID Study design Preintervention mortality rate Postintervention mortality rate Difference in equity gradient (95% CI) Analysis summary
iCCM Control iCCM Control
Change in neonatal mortality rate subgroup (inequity gradient) Wealth quintile Bhandari 2012a/Taneja 2015 cRCT NA NA –3.6 (–6.0 to –1.2) –4.1 (–5.9 to –2.3) 0.5a (–2.0 to 2.9)
P = 0.681
Multiple linear regressions adjusted for cluster design and potential confounders
Neonatal mortality rate Wealth quintile (poorest) Bhandari 2012a/Taneja 2015 cRCT NA NA 52.1/1000 live births
(293/5620)
54.2/1000 live births (348/6421)
Wealth quintile (very poor) Bhandari 2012a/Taneja 2015 cRCT NA NA 46.1/1000 live births
(248/5380)
50.2/1000 live births (334/6660)
Wealth quintile (Poor) Bhandari 2012a/Taneja 2015 cRCT NA NA 43.3/1000 live births
(252/5818)
36.0/1000 live births (224/6222)
Wealth quintile (Less poor) Bhandari 2012a/Taneja 2015 cRCT NA NA 39.9/1000 live births
(241/6039)
36.3/1000 live births (218/6001)
Wealth quintile (Least poor) Bhandari 2012a/Taneja 2015 cRCT NA NA 30.9/1000 live births
(208/6732)
33.4/1000 live births (177/5300)
Change in neonatal mortality rate subgroup (inequity gradient) Gender Bhandari 2012a/Taneja 2015 cRCT NA NA 1.9 (–4.9 to 8.7) 2.0 (–3.1 to 7.2) 0.1a (–8.7 to 8.4)
P = 0.974
Multiple linear regressions adjusted for cluster design and potential confounders
Neonatal mortality rate Gender (female) Bhandari 2012a/Taneja 2015 cRCT NA NA 41.1/1000 live births
(557/14,044)
42.2/1000 live births (614/14,561)
Gender (male) Bhandari 2012a/Taneja 2015 cRCT NA NA 42.7/1000 live births
(667/15,623)
43.8/1000 live births (712/16,252)
Change in infant mortality rate subgroup (inequity gradient) Wealth quintile Bhandari 2012a/Taneja 2015 cRCT NA NA –2.8 (–4.2 to –1.3) –4.9 (–7.0 to –2.8) 2.2a (0 to 4.4)
P = 0.053
Multiple linear regressions adjusted for cluster design and potential confounders
Infant mortality rate Wealth quintile (poorest) Bhandari 2012a/Taneja 2015 cRCT NA NA 38.1/1000 live births
(214/5620)
41.7/1000 live births (268/6421)
Wealth quintile (very poor) Bhandari 2012a/Taneja 2015 cRCT NA NA 24.9/1000 live births
(134/5380)
32.9/1000 live births (219/6660)
Wealth quintile (Poor) Bhandari 2012a/Taneja 2015 cRCT NA NA 20.5/1000 live births
(119/5818)
24.6/1000 live births (153/6222)
Wealth quintile (Less poor) Bhandari 2012a/Taneja 2015 cRCT NA NA 18.4/1000 live births
(111/6039)
15.2/1000 live births (91/6001)
Wealth quintile (Least poor) Bhandari 2012a/Taneja 2015 cRCT NA NA 14.9/1000 live births
(100/6732)
14.0/1000 live births (74/5300)
Change in infant mortality rate subgroup (inequity gradient) Gender Bhandari 2012a/Taneja 2015 cRCT NA NA –9.1 (–12.2 to –6.0) –10.8 (–14.7 to –6.9)) 1.7a (–3.2 to 6.6)
P = 0.479
Multiple linear regressions adjusted for cluster design and potential confounders
Infant mortality rate Gender (female) Bhandari 2012a/Taneja 2015 cRCT NA NA 27.9/1000 live births
(392/14,044)
32.3/1000 live births (471/14,561)
Gender (male) Bhandari 2012a/Taneja 2015 cRCT NA NA 18.5/1000 live births
(289/15,623)
20.8/1000 live births (338/16,252)

CI: confidence interval; cRCT: cluster‐randomized controlled trial; iCCM: integrated community case management; NA: not applicable.
aMultiple linear regressions adjusted for cluster design and potential confounders (distance of nearest point from primary health centre to highway, percent of home births, and years of schooling of mother, gender, religion and caste and wealth quintile).